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azure sql python databricks delta lake📋 Description
- Design, develop, and maintain scalable data pipelines for batch and real-time processing.
- Build and optimize ETL/ELT workflows for ingestion, transformation, and loading.
- Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse.
- Ensure data quality, reliability, and availability across data products.
- Collaborate with Data Architects on data models and standards.
- Support data governance, metadata management, and lineage tracking.
🎯 Requirements
- 4+ years of experience in data engineering or related roles.
- SQL and Python proficiency for data transformation and processing.
- Hands-on with Azure Data Services, Databricks, and Delta Lake.
- Experience building and maintaining ETL/ELT pipelines at scale.
- Familiarity with data modeling concepts and distributed data systems.
- Data governance, data quality, and security practices.
🎁 Benefits
- Work on top banking/insurance projects shaping financial services.
- Collaborative, flat, entrepreneurial consulting culture.
- Continuous learning and industry certifications.
- Be part of a team shaping digital financial services.
- Flat, non-hierarchical structure with direct client access.
- Agile, diverse, meritocratic culture.
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